Overview
- jectives for each concept so you know the purpose of the Excel steps
- Each chapter presents key steps needed to solve practical science problems using Excel. In addition, three practice problems at the end of each chapter enable you to test your new knowledge. Answers to these problems appear in Appendix A
- A “Practice Test” is given in Appendix B to test your knowledge at the end of the book. Answers appear in Appendix C
- This book purposely does not include a CD of Excel files. Instead, you’ll be shown how to create each Excel file yourself. In a work situation, your colleagues will not give you an Excel file
- You will be expected to create your own. This book will give you ample practice in developing this important skill
- This book is a tool that can be used either by itself or along with any good statistics book
- Suitable for undergraduates or graduate students
- Includes 165 color screen shots so you can be sure you are performing Excel steps correctly
- Statistical theory and formulas are explained in clear language without bogging you down in mathematical fine points
- You will be told each step of the way, not only how to use Excel, but also why you are doing each step – so you can learn the techniques to apply Excel beyond this book
- You will learn both how to write statistical formulas and how to use drop-down menus to have Excel create formulas for you
- Each chapter includes specific ob
- Includes supplementary material: sn.pub/extras
Part of the book series: Excel for Statistics (EXCELSTAT)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2013 for Physical Sciences Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with.
Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Physical Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.
Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.
Authors and Affiliations
About the authors
At the beginning of his academic career, Prof. Tom J. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a Professor of Marketing in the George Herbert Walker School of Business & Technology at Webster University based in St. Louis, Missouri (USA) where he teaches Marketing Statistics, Marketing Research, and Pricing Strategies. He has written 60+ textbook supplements in Marketing and Management, published 20+ articles in professional journals, and presented 20+ papers at professional meetings. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education and a Ph.D. in Educational Psychology from Stanford University, and an M.B.A. from The University of Missouri-St. Louis.
Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B.A. in Biology and Religion at Principia College in Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe ecosystems in Photochemistry & Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado.
Howard F. Horton holds an MS in Biological Sciences from the University of Northern Colorado (UNC) and a BS in Biological Sciences from Mesa State College. He has worked on research projects in Pawnee National Grasslands, Rocky Mountain National Park, Long Term Ecological Research at Toolik Lake, Alaska, and Wind Cave, South Dakota. He has co-authored articles in Th e International Journal of Speleology and Th e Journal of Cave and Karst Studies. He was a National Science Foundation Fellow GK-12, and a District Wildlife Manager with the Colorado Division of Parks and Wildlife. He is currently the Angler Outreach Coordinator for Colorado Parks and Wildlife (USA).
Bibliographic Information
Book Title: Excel 2016 for Physical Sciences Statistics
Book Subtitle: A Guide to Solving Practical Problems
Authors: Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton
Series Title: Excel for Statistics
DOI: https://doi.org/10.1007/978-3-319-40075-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016
eBook ISBN: 978-3-319-40075-4Published: 25 July 2016
Series ISSN: 2570-4605
Series E-ISSN: 2570-4613
Edition Number: 1
Number of Pages: XV, 246
Number of Illustrations: 1 b/w illustrations, 161 illustrations in colour
Topics: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Applications in the Physical Sciences, Computer Appl. in Social and Behavioral Sciences